Triple
T21776749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Base Frei |
E537603
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Villa Las Estrellas |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Villa Las Estrellas | Statement: [Base Frei, hasSettlement, Villa Las Estrellas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villa Las Estrellas Context triple: [Base Frei, hasSettlement, Villa Las Estrellas]
-
A.
Villa Las Estrellas
chosen
Villa Las Estrellas is a small Chilean civilian settlement and research support community located on King George Island in Antarctica.
-
B.
Villa González
Villa González is a municipality and town in the northern Dominican Republic known for its agricultural activity, particularly tobacco cultivation, within Santiago Province.
-
C.
Villa Mercedes
Villa Mercedes is a major urban and industrial center in central Argentina, located in the province of San Luis.
-
D.
Villa El Salvador
Villa El Salvador is a large, planned working-class district in southern Lima, Peru, known for its history of organized community development and social housing.
-
E.
Villa El Carmen
Villa El Carmen is a municipality in western Nicaragua known for its rural communities and agricultural activities within the Managua department.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04629e5c481909f37b05b9c3cc515 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:51 p.m.